Name
Abstract | ||
|---|---|---|
Current research suggests that physical activity has positive effects on the overall state of people with mild cognitive impairment (MCI) and that the use of new technologies could help those people to keep and improve their postural control and motor skills. In a pilot study, we investigated the use of a device based on a mobile robot for the motor activation of people with MCI, with the goal of investigating the possible influence of such an activity on the cognitive level. The device is an omnidirectional robot platform with handlebars and an integrated force-torque sensor to enable direct interaction with a user. A passive interaction controller with high-level interaction modes for training scenarios is developed. The device and the training are evaluated with ten participants (eight males and two females) from 66 to 78 years of age with MCI in five 1-h sessions. Here, we present the data gathered with the device and the evaluation of the user experience. The results for the precision of controlling the device and the time performance show that the users got better during the training week for most tasks. The participants felt safe during the training and managed to adapt to changes in the device's high-level behavior. Overall, the current results suggest that the proposed training is feasible and the device is suitable for the training. Future work will evaluate pre- and post-training MRI data and data from neuropsychological and memory testing to investigate impacts of the training with the robotic device on the cognitive level of a user. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LRA.2019.2898470 | IEEE ROBOTICS AND AUTOMATION LETTERS |
Keywords | Field | DocType |
Human-centered robotics, physical human-robot interaction, physically assistive devices, rehabilitation robotics | User experience design,Control theory,Motor skill,Control engineering,Engineering,Physical medicine and rehabilitation,Robot,Cognition,Mobile robot,Neuropsychology,Cognitive impairment | Journal |
Volume | Issue | ISSN |
4 | 2 | 2377-3766 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Denis Stogl | 1 | 13 | 2.46 |
| Oliver Armbruster | 2 | 0 | 0.34 |
| Michael Mende | 3 | 1 | 1.71 |
| Björn Hein | 4 | 39 | 12.36 |
| Xingbo Wang | 5 | 57 | 8.36 |
| Patric Meyer | 6 | 9 | 1.58 |